Explore the streamlined process of creating diverse image variations in .NET applications using OpenAI’s enhanced API functionality.

A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities

How to implement neural networks for regression in C# ?

An introduction to machine learning with working C++ code that trains a linear regression model.

In the last article, we created an Intelligent App that leverages Azure AI Vision to analyze images and extract data. We developed an API to perform optical character recognition (OCR) on uploaded images and tested this API locally.

Leveraging Open-Source AI Technologies with Red Hat OpenShift Data Science and Intel® Architecture

How to control game elements based on predefined conditions

This article explores the use of Stable Diffusion models, focusing on image-to-image generation, using Intel's newly released Intel Data Center GPU Max Series 1100.

An implementation of the Neural Network backpropagation learning algorithm in C++ using the BLAS proposal in P1673.

In topic 2 of our series, we explore the power of multi-model databases for Intelligent Apps and their integration with Azure Cosmos DB and Azure Kubernetes Service (AKS).